期刊文献+

基于多模型及SVM的单人脸跟踪系统 被引量:3

Multi-Model and SVM Used in Face Tracking
下载PDF
导出
摘要 针对彩色视频中的人脸检测与跟踪问题,使用运动模型和自适应肤色模型,从图像中快速提取出人脸候选区,然后利用基于先验规则和SVM的方法进行确认。对于被确认的人脸,建立一个人脸状态记录表,通过位置预测,使用三步搜索法进行人脸区域色度特征匹配跟踪。实验表明,本文提出的方法,在复杂的环境中,能实时地、精度较高地跟踪自由运动的人脸。 As to the problem of face detection and tracking in color video frequency, we try to use the motion model and the adaptable skin model to extract the face-like region quickly at first. Then we use rule-based face verification algo- rithm and SVM method to verify it. After the verification of the human face, we create the face status table and track the human faces based on chromatic histograms matching through three-step-search method after the location's predicton. The experiment results show that the proposed method is more robust and powerful than the other methods.
出处 《微计算机应用》 2006年第2期181-184,共4页 Microcomputer Applications
关键词 人脸检测 人脸跟踪 支持向量机 face detection, face tracking, SVM
  • 相关文献

参考文献7

二级参考文献14

  • 1[1]Barron J L, Fleet D J, Beauchemin S S. Performance of optical flow techniques[J]. International Journal of Computer Vision, 1994,12(1): 43-47. 被引量:1
  • 2[2]Verri A, Poggio T. Against quantitative optical flow[A]. Proc. of First Conference on Computer Vision[C], London, England,IEEE, 1987.171-180. 被引量:1
  • 3[3]Shahriar Negahdaripour. Revised definition of optical flow: integration of radiometric and geometric cues for dynamic scene analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998,20(9): 961-979. 被引量:1
  • 4[4]Heiz F, Bouthemy P. Multimodal estimation of discontinous optical flow using markov random fields[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(12):1217-1232. 被引量:1
  • 5[5]Beauchemin S S, Barron J L. The computation of optical flow[J]. ACM Comp. Surveys, 1995,27(3): 433-467. 被引量:1
  • 6[6]Lucas B, Kanade T. An iterative image registration technique with an application to stereo vision[A]. Proc. DARPA IU Workshop[C],Menlo Park,California, 1981,121-130. 被引量:1
  • 7[7]Horn B K P, Schunck H G. Determining optical flow[J]. Artificial Intelligence, 1981, 17(1-3): 185-204. 被引量:1
  • 8[8]ONG E P, Spann M. Robust optical flow computation based on least-median-of-square regression[J]. International Journal of Computer Vision, 1999,31(1):51-82. 被引量:1
  • 9Koga T, Linuma K, Hirano A, et al. Motion compensated interframe coding for video conferencing[A]. Proceedings IEEE National Telecommunications Conference[C]. New Orleans : LA, 1981.GS. 3.1-5.3.5. 被引量:1
  • 10Li R, Zeng B, Liou M L. A new three-step search algorithm for block motion estimation [J]. IEEE Transactions on Circuits and Systems for Video Technology, 1994, 4(4) :438-442. 被引量:1

共引文献72

同被引文献21

  • 1孙彩堂,周春光,周逢道,张利彪,崔丽.基于梯度和颜色直方图相融合方法的人脸跟踪[J].吉林大学学报(信息科学版),2004,22(5):489-493. 被引量:2
  • 2黄超,谢康林,杜平.基于Adaboost的快速人脸跟踪算法[J].计算机工程,2004,30(B12):373-374. 被引量:6
  • 3Crowley J L,Berard F.Multi-modal tracking of faces for video communications[J].Computer Vision and Pattem Recognition,1997:640-645. 被引量:1
  • 4Schmidt A,Kasi(n)ski A.The performance of the haar cascade classifiers applied to the face and eyes detection[J].Advances in Soft Computing,2007,45:816-823. 被引量:1
  • 5高文.多功能感知机的框架机构[C]//第二届中国计算机智能接口与智能应用学术会议论文集.威海,1995:7-20. 被引量:1
  • 6Sung Kahkay, Tomaso Poggio. Example-based learning for view-based human face detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(1):39-42. 被引量:1
  • 7Hager G D, Belhumeur P N. Efficient region tracking with parametric models of geometry and illumination[J]. IEEE Trans PAMI, 1998, 20(10):1 025-1 039. 被引量:1
  • 8Antoszczyszyn P M, Hannah J M, Grant M. Tracking of the motion of important facial features in model-based coding[J]. Signal Processing, 1998, 66(2):249-260. 被引量:1
  • 9Kervrann C, Heitz F. A hierarchical Markov modeling approach for the segment and tracking of deformable shapes[J]. Graphical Models and Image Processing, 1998, 60(3):173-195. 被引量:1
  • 10Gary R. Bradski. Santa Clara, CA. Intel Corporation Computer Vision Face Tracking For Use in a Perceptual User Interface. [ C ] Proceedings of IEEE Workshop Applications of computer Vision. Princeton,NJ:IEEE ,1998,214-219. 被引量:1

引证文献3

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部